"""simple docstring"""



import enum
import shutil
import sys


SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__:Union[str, Any]									=			shutil.get_terminal_size()

SCREAMING_SNAKE_CASE__:int									=			{"""UP""": """A""", """DOWN""": """B""", """RIGHT""": """C""", """LEFT""": """D"""}






class  snake_case__      (       enum.Enum       ):
 _snake_case       :					Union[str, Any]							  =						0
 _snake_case       :					Any							  =						1



def 	_lowerCamelCase(	a   ,    a=""				):
       sys.stdout.write(str(a				) + end				)
       sys.stdout.flush()



def 	_lowerCamelCase(	a   ,    a   ,    a=""				):
       forceWrite(F"\u001b[{color}m{content}\u001b[0m"   ,    a				)



def 	_lowerCamelCase(	):
       forceWrite("\r"				)



def 	_lowerCamelCase(	a   ,    a				):
       forceWrite(F"\033[{num_lines}{CURSOR_TO_CHAR[direction.upper()]}"				)



def 	_lowerCamelCase(	):
       forceWrite(" " * TERMINAL_WIDTH				)
       reset_cursor()




def 	_lowerCamelCase(	):
       reset_cursor()
       forceWrite("-" * TERMINAL_WIDTH				)

"""simple docstring"""



from typing import Union

import fire
import torch
from tqdm import tqdm



def 	_lowerCamelCase(	a   ,    a = "cpu"   ,    a = None				):
       __a       =    torch.load(a   ,    map_location=a				)
       for k, v in tqdm(state_dict.items()				):
              if not isinstance(a   ,    torch.Tensor				):
                     raise TypeError("FP16 conversion only works on paths that are saved state dicts, like pytorch_model.bin"				)
              __a       =    v.half()
       if save_path is None:  # overwrite src_path
              __a       =    src_path
       torch.save(a   ,    a				)


if __name__ == "__main__":
   fire.Fire(convert)
